// Copyright (c) 2023 Huawei Technologies Co., Ltd
// Copyright (c) 2019, Facebook CORPORATION.
// All rights reserved.
//
// Licensed under the BSD 3-Clause License  (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// https://opensource.org/licenses/BSD-3-Clause
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.

#include "op_plugin/AclOpsInterface.h"
#include "op_plugin/OpApiInterface.h"
#include "op_plugin/utils/op_api_common.h"

namespace op_api {

at::Tensor& max_unpool2d_backward_out(const at::Tensor& gradOutput, const at::Tensor& self,
                                                               const at::Tensor& indices, at::IntArrayRef outputSize,
                                                               at::Tensor& gradInput) {
  DO_COMPATIBILITY(aclnnMaxUnpool2dBackward,
                   acl_op::max_unpool2d_backward_out(gradOutput, self, indices, outputSize, gradInput));
  at_npu::native::OpPreparation::check_tensor({self, gradOutput}, gradInput, self);
  EXEC_NPU_CMD(aclnnMaxUnpool2dBackward, gradOutput, self, indices, outputSize, gradInput);
  return gradInput;
}

at::Tensor max_unpool2d_backward(const at::Tensor& gradOutput, const at::Tensor& self,
                                                          const at::Tensor& indices, at::IntArrayRef outputSize) {
  DO_COMPATIBILITY(aclnnMaxUnpool2dBackward,
                   acl_op::max_unpool2d_backward(gradOutput, self, indices, outputSize));
  at::Tensor gradInput = at_npu::native::OpPreparation::apply_tensor_without_format(self);
  max_unpool2d_backward_out(gradOutput, self, indices, outputSize, gradInput);
  return gradInput;
}
}  // namespace op_api
